We are seeking a highly experienced Snowflake Engineer with deep expertise in Snowflake system optimization, enterprise data architecture, and scalable pipeline development.
Requirements
- Design and implement enterprise-grade Snowflake architecture
- Define data modeling standards and Snowflake best practices
- Design scalable ingestion frameworks for structured and semi-structured data
- Architect solutions for performance, scalability, cost optimization, and governance
- Establish data lifecycle management, retention, and archival strategies
- Partner with analytics, BI, and data science teams to translate business requirements into scalable data solutions
- Maintain clear documentation for data lineage and architecture
- Optimize warehouse sizing and workload management strategies
- Analyze query plans and improve performance using clustering, pruning, and micro-partition strategies
- Improve cost efficiency through compute optimization and storage management
- Implement monitoring frameworks for performance and usage tracking
- Tune ingestion processes
- Design, build, and maintain scalable ETL/ELT pipelines
- Develop orchestration workflows using Airflow, dbt, or similar tools
- Support batch and near real-time data ingestion
- Implement data quality checks, validation rules, and observability
- Troubleshoot and resolve performance bottlenecks across pipelines
Benefits
- Financial Health
- Physical Health
- Emotional Health
- Social Health